Lead Data DevOps Engineer: Azure, Terraform & Platform

EPAM Systems Inc; México; Remote; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Learning & development access (LinkedI

Global career opportunities

Volunteer opportunities

Employee groups

Job summary

EPAM Systems Inc. is seeking a Senior Data DevOps professional to implement and support key aspects of our data platform. You will drive infrastructure changes, monitoring, automation, and self-healing capabilities, while ensuring secure access across environments.

You will collaborate with Architecture and SRE teams to optimize data workloads, diagnose performance issues, and guide platform design standards. Strong communication with stakeholders is essential.

Qualifications

• 5+ years of hands-on DevOps with data platforms across subscriptions and environments.
• Expertise with Terraform and Azure DevOps pipelines in multi-subscription setups.
• Strong ability to communicate with multiple stakeholders on platform requirements.
• Experience with Azure data solutions and performance tuning.

Responsibilities

• Implement and support infrastructure changes across the data platform.
• Establish monitoring and end-to-end tracking mechanisms.
• Develop automation and self-healing solutions for operations.
• Assist anomaly detection, event correlation, and analysis.
• Manage access permissions across environments.
• Collaborate with Architecture teams on platform design standards.
• Support the platform with SRE for deployments and operations.
• Troubleshoot performance issues in data workloads.

Skills

Terraform

Azure DevOps

Stakeholder comms

Data platform design

Tools

Data Lake Storage

Databricks

Synapse Analytics

ADF (Azure Data Factory)

Job description

EPAM Systems Inc. is seeking a Senior Data DevOps professional to implement and support key aspects of our data platform. You will drive infrastructure changes, monitoring, automation, and self-healing capabilities, while ensuring secure access across environments.

You will collaborate with Architecture and SRE teams to optimize data workloads, diagnose performance issues, and guide platform design standards. Strong communication with stakeholders is essential.